DEVELOPMENT OF A FRAMEWORK FOR DEFINING THE CONCEPT OF QUALITY 4.0

Abstract

Industry 4.0, better known as the Fourth Industrial Revolution, is a concept that refers to the application of high technologies, such as the Internet of Things (IoTI), cybernetics, machine learning, automation of production and the entire business. This concept aims to improve efficiency, productivity, and flexibility and reduce costs. On the other hand, Quality 4.0 is the integration of smart technologies and digitalization into the manufacturing process to improve quality control and increase efficiency. It involves using IoT devices, machine learning, and big data analytics to monitor and optimize production processes in real time, resulting in reduced defects, increased productivity, and improved product traceability. By using these technologies, manufacturers can reduce the risk of defects and downtime, increase productivity, and improve product traceability. Quality 4.0 is an essential aspect of Industry 4.0. It represents the integration of digital technologies into the quality control process. The main objective is to achieve higher quality products, reduce defects, and optimize production processes using real-time data analytics. This approach emphasizes the importance of data-driven decision-making in manufacturing and highlights the benefits of integrating data analysis into quality control processes. Overall, Quality 4.0 focuses on improving the quality of products and processes using modern technology, resulting in increased efficiency, productivity and flexibility.Industry 4.0, better known as the Fourth Industrial Revolution, is a concept that refers to the application of high technologies, such as the Internet of Things (IoTI),cybernetics, machine learning, automation of production and the entire business. This concept aims to improve efficiency, productivity, and flexibility and reduce costs. On the other hand, Quality 4.0 is the integration of smart technologies and digitalization into the manufacturing process to improve quality control and increase efficiency. It involves using IoT devices, machine learning, and big data analytics to monitor and optimize production processes in real time, resulting in reduced defects, increased productivity, and improved product traceability. By using these technologies, manufacturers can reduce the risk of defects and downtime, increase productivity, and improve product traceability. Quality 4.0 is an essential aspect of Industry 4.0. It represents the integration of digital technologies into the quality control process. The main objective is to achieve higher quality products, reduce defects, and optimize production processes using real-time data analytics. This approach emphasizes the importance of data-driven decision-making in manufacturing and highlights the benefits of integrating data analysis into quality control processes. Overall, Quality 4.0 focuses on improving the quality of products and processes using modern technology, resulting in increased efficiency, productivity and flexibility.